GEN AI Solution Architect
- BratislavaBanska BystricaKosice
- Software Engineering
- Professional
GEN AI Solution Architect
- BratislavaBanska BystricaKosice
- Software Engineering
- Professional
Introduction
As a Solution Architect for our Generative AI initiatives, you will lead the design and implementation of cutting-edge AI solutions leveraging IBM’s watsonx platform and state-of the-art pretrained models such as Granite, Mistral, and Llama 3. You will architect scalable, secure, and efficient AI systems on the IBM Cloud infrastructure, collaborating with cross-functional teams to drive innovation and deliver high-impact learning and knowledge solutions within IBM
Your Role and Responsibilities
As a Solution Architect for our Generative AI initiatives, you will lead the design and implementation of cutting-edge AI solutions leveraging IBM’s watsonx platform and state-of the-art pretrained models such as Granite, Mistral, and Llama 3. You will architect scalable, secure, and efficient AI systems on the IBM Cloud infrastructure, collaborating with cross-functional teams to drive innovation and deliver high-impact learning and knowledge solutions within IBM
Your Role and Responsibilities
What would be your responsibilities?
- Develop and oversee the architectural framework for generative AI solutions, ensuring alignment with IBM’s strategic goals and technical standards.
- Implement and fine-tune pretrained models such as Granite, Mistral, and Llama 3 to meet specific project requirements.
- Provide technical direction and mentorship to development teams, fostering best practices in AI development and deployment. Work closely with data scientists, developers, UX/UI designers, and other stakeholders to ensure seamless integration of AI components.
- Engage with internal stakeholders to gather requirements, present architectural designs, and align solutions with business objectives.
- Stay abreast of the latest advancements in generative AI and evaluate their applicability to IBM’s projects.
- Recommend and implement appropriate tools, frameworks, and technologies that enhance the effectiveness of AI solutions.
- Continuously monitor and optimize AI models and infrastructure for performance, cost-efficiency, and scalability.
- Architect solutions that comply with IBM’s security policies, data privacy regulations, and industry standards.
- Integrate security measures into the AI solutions, including data encryption, access controls, and vulnerability assessments.
- Develop detailed documentation, including system diagrams, data flows, integration points, and technical specifications.
- Define and enforce architectural standards, coding guidelines, and best practices across the project.
- Collaborate with project managers to define project scope, timelines, and resource allocation.
- Identify potential technical risks and develop mitigation strategies to ensure project success
You can work from one of our offices – our center is located in Bratislava, Banská Bystrica, and Košice, so you can choose where it suits you best.
What can you expect of us?
- Salary starting from 3,300 EUR gross, depending on relevant experience
- Additional Days Off
- Flexible Working Conditions
- 100% Paid Sick Leave
- Critical Illness Insurance, Life & Disability insurance, Medical Center
- Personal & Career Development
- And many more: http://ibm.biz/benefits_IBM
Required Technical and Professional Expertise
Experience:
- Minimum 7+ years in software architecture or a related technical role, with significant experience in AI/ML solutions.
- Proven experience leading AI projects, particularly in generative AI and deploying pretrained models.
- Hands-on experience with IBM’s watsonx platform and IBM Cloud infrastructure.
Technical Skills:
- Deep understanding of AI/ML frameworks such as TensorFlow, PyTorch, and their application in generative models.
- Expertise in deploying and fine-tuning models like Granite, Mistral, and Llama 3.
- Proficiency with IBM Cloud services, including compute, storage, networking, and AI-specific offerings.
- Strong knowledge of microservices architecture, API design, containerization (Docker, Kubernetes), and serverless computing.
- Proficiency in languages such as Python, Java, or Scala relevant to AI development.
- Experience with data pipelines, ETL processes, and data storage solutions relevant to AI applications.
- Solid understanding of cloud security best practices, data encryption, and compliance standards.
Soft Skills:
- Proven ability to lead and mentor technical teams.
- Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Strong analytical and problem-solving abilities to address technical challenges effectively.
- Ability to work collaboratively in a cross-functional team environment
Preferred Technical and Professional Expertise
listed above
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